next up previous contents
Next: About this document Up: What is Data Engineering? Previous: Aspects of Data Engineering

References

1
C.E. Brodley and P. Smyth. Applying classification algorithms in practice. Statistics and Computing, 1997. in press.

2
W. Buntine. Operations for learning with graphical models. Journal of Artificial Intelligence Research, 2:159-225, 1994. JAIR is mirrored at several sites including URL http://www.cs.washington.edu /research/jair/home.html.

3
W.L. Buntine. Learning classification trees. In D.J. Hand, editor, Artificial Intelligence Frontiers in Statistics, pages 182-201. Chapman & Hall, London, 1991.

4
W.L. Buntine. Graphical models for discovering knowledge. In U. M. Fayyad, G. Piatetsky-Shapiro, P. Smyth, and R. S. Uthurasamy, editors, Advances in Knowledge Discovery and Data Mining. MIT Press, 1995.

5
W.L. Buntine. A guide to the literature on learning probabilistic networks from data. IEEE Transactions on Knowledge and Data Engineering, 1996.

6
W.L. Buntine and D.A. Stirling. Interactive induction. In J. Hayes, D. Michie, and E. Tyugu, editors, MI-12: Machine Intelligence 12, Machine Analysis and Synthesis of Knowledge. Oxford University Press, Oxford, 1990.

7
W.L. Buntine and A.S. Weigend. Bayesian back-propagation. Complex Systems, 5(1):603-643, 1991.

8
U. M. Fayyad, G. Piatetsky-Shapiro, P. Smyth, and R. S. Uthurasamy, editors. Advances in Knowledge Discovery and Data Mining. MIT Press, 1995.

9
Clark Glymour, David Madigan, Daryl Pregibon, and Padhraic Smyth. Statistical inference and data mining. Communications of the ACM, 39(11), November 1996.

10
F. Hayes-Roth, D.A. Waterman, and D. Lenat, editors. Building Expert Systems. Addison Wesley, 1983.

11
D. Heckerman. Probabilistic similarity networks. Networks, 20:607-636, 1990.

12
M. Henrion and D.R. Cooley. An experimental comparison of knowledge engineering for expert systems and for decision analysis. In Sixth National Conference on Artificial Intelligence, pages 471-476, Seattle, 1987. American Association for Artificial Intelligence.

13
Pat Langley and Herbert A. Simon. Applications of machine learning and rule induction. Communications of the ACM, 38(11):54-64, November 1995.

14
D. Michie. Current developments in expert systems. In J.R. Quinlan, editor, Applications of Expert Systems. Addison Wesley, London, 1987.

15
R.M. Neal. Connectionist learning of belief networks. Artificial Intelligence, 56:71-113, 1992.

16
J.R. Quinlan, P.J. Compton, K.A. Horn, and L. Lazarus. Inductive knowledge acquisition: A case study. In J.R. Quinlan, editor, Applications of Expert Systems. Addison Wesley, London, 1987.

17
B.D. Ripley. Network methods in statistics. In F.P. Kelly, editor, Probability, Statistics and Optimization, pages 241-253. Wiley & Sons, New York, 1994.

18
B.D. Ripley. Pattern Recognition and Neural Networks. Cambridge University Press, 1996.

19
L.K. Saul, T. Jaakkola, and M.I. Jordan. Mean field theory for sigmoid belief networks. Technical Report 9501, Computational Cognitive Science, MIT, 1995.

20
J.W. Tukey. Exploratory Data Analysis. Addison-Wesley, 1977.

21
A. Weigend and N. Gershenfeld, editors. Predicting the Future and Understanding the Past. Addison-Wesley, Redwood City, CA, 1993.



Copyright 1997, by Wray Buntine.
Ultimode Systems.
Last updated Mon Jan 27 09:26:36 PST 1997